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yohanesnuwara's repositories
A 3D channel body interpretation via multiple attributes and supervoxel graph cut.pdf
A machine-learning benchmark for facies classification.pdf
A scalable deep learning platform for identifying geologic features from seismic attributes.pdf
A seismic facies classification method based on the convolutional neural network and the probabilistic framework for seismic attributes and spatial classification.pdf
An enhanced fault-detection method based on adaptive spectral decomposition and super-resolution deep learning.pdf
Application of Data Analytics for Production Optimization in Unconventional Reservoirs A Critical Review.pdf
Applications of supervised deep learning for seismic interpretation and inversion.pdf
Assessment of machine-learning techniques in predicting lithofluid facies logs in hydrocarbon wells.pdf
Attribute selection in seismic facies classification Application to a Gulf of Mexico 3D seismic survey and the Barnett Shale.pdf
Automated interpretation of top and base salt using deep convolutional networks.pdf
Automated salt-dome detection using an attribute ranking framework with a dictionary based classifier.pdf
Automatic channel detection using deep learning.pdf
Automatic mapping of the base of aquifer — A case study from Morrill, Nebraska.pdf
Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps.rar
Convolutional neural networks as aid in core lithofacies classification.pdf
Deep learning applied to seismic attribute computation.pdf
Depositional sequence characterization based on seismic variational mode decomposition.pdf
Descriptive Data Analytics for the Stimulation, Completion Activities, andWells' Productivity in the Marcellus Shale Play.pdf
Distributed collaborative prediction Results of the machine learning contest.pdf
Eagle Ford Fluid Type Variation and Completion Optimization A Case.pdf
Effective glue between geoscience concepts, data, and modeling systems.pdf
Estimating normal moveout velocity using the recurrent neural network.pdf
Facies classification using machine learning.pdf
Full-volume 3D seismic interpretation methods A new step towards high-resolution seismic stratigraphy.pdf
Geological Facies Prediction Using Computed Tomography in a Machine Learning and Deep Learning Environment.pdf
Geophysical inversion versus machine learning.pdf
Geostatistical seismic inversion for frontier exploration.pdf
High-resolution water-saturation prediction using geostatistical inversion and neural network methods.pdf
Improving seismic fault detection by super-attribute-based classification.pdf
Introduction to this special section Data analytics and machine learning.pdf
Introduction to this special section Machine learning applications.pdf
Lithofacies-dependent rock-physics templates of an unconventional shale reservoir on the North Slope, Alaska.pdf
Machine Learning A Deep Learning Approach for Seismic Structural Evaluation.pdf
Machine Learning Using Optimized KNN (K-Nearest Neighbors) to Predict the Facies Classifications .pdf
Machine Learning in Rock Facies Classification An Application of XGBoost.pdf
Machine learning and geophysical inversion a numerical study.pdf
Machine learning and learning from machines.pdf
Machine learning as a tool for geologists.pdf
Machine learning in the interpreter’s toolbox unsupervised, supervised, and deep learning applications.pdf
Machine learning regressors and their metrics to predict synthetic sonic and mechanical properties.pdf
Machine learning systems open up access to large volumes of valuable information lying dormant in unstructured documents.pdf
Multiresolution neural networks for tracking seismic horizons from few training images.pdf
Neural networks for geophysicists and their application to seismic data interpretation.pdf
Oilfield Data Analytics Linking Fracturing Chemistry and Well.pdf
Open access and open science progression.pdf
Predicting Gas Production Using Machine Learning Methods A Case Study.pdf
Production Metric Analytics in the Wolfcamp Formation.pdf
README.md
Rock typing in the Upper Devonian-Lower Mississippian Woodford Shale.pdf
Sedimentary environment prediction of grain-size data based on machine learning approach.pdf
Seismic attribute selection and clustering to detect and classify surface waves in multicomponent seismic data by using k-means algorithm.pdf
Seismic attributes and analogues to characterize a large fold in the Taranaki Basin.pdf
Seismic graph analysis to aid seismic interpretation.pdf
Seismic methods for fluid discrimination in areas with complex geologic.pdf
Seismic structure interpretation based on machine learning A case study in coal mining.pdf
Spectral similarity fault enhancement.pdf
Statistical approach to neural network imaging of karst systems in 3D seismic reflection data.pdf
TRACKING 3D SEISMIC HORIZONS WITH A NEW, HYBRID TRACKING ALGORITHM.pdf
The Rise of the Machines, Analytics, and the Digital Oilfield Artificial Intelligence in the Age of Machine Learning and Cognitive Analytics.pdf
The Western Australia Modeling project — Part 2 Seismic validation.pdf
The use of predictive analytics for hydrocarbon exploration in the Denver-Julesburg Basin.pdf
Three data analytics party tricks.pdf
Validated artificial neural networks in determining petrophysical properties.pdf
Visualize geoscience education — Earth Science Week 2015.pdf